{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Program Files\\Anaconda3\\lib\\importlib\\_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
      "  return f(*args, **kwds)\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 22.1 Basic Plotting: plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xea5ecf8>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAEHCAYAAACtAv3IAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/w+cgNTYh8JQGwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))\n",
    "ts = ts.cumsum()\n",
    "ts.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAEHCAYAAACtAv3IAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nDL6GhobGGYJm8DU0NDTOEP4fuQQFxPaW/JcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))\n",
    "df = df.cumsum()\n",
    "plt.figure(); df.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11f24128>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAEKCAYAAAARnO4WAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJztnXecXHW5/9/f6dtLsum9JwQSIHSk\nBgyCgogKFkC54rWByhVB9KrXxlWu9edFUZrlghQFNBQhNKlJIIWEJCSkbtruZvvuzE77/v4458yc\nmZ3ZMju7O+V5v1772jnfOeV75sw85znP9/l+HqW1RhAEQSh8HKPdAUEQBGFkEIMvCIJQJIjBFwRB\nKBLE4AuCIBQJYvAFQRCKBDH4giAIRYIYfEEQhCJBDL4gCEKRIAZfEAShSHCNdgfsjB07Vs+YMWO0\nuyEIgpBXvPHGG01a67r+1sspgz9jxgzWrl072t0QBEHIK5RSewaynoR0BEEQigQx+IIgCEWCGHxB\nEIQiIWsxfKWUE1gL7NdaX6SUmgncD9QCbwKf1FoHB7vfUChEfX09gUAgW10dFnw+H1OmTMHtdo92\nVwRBEFKSzUHb64EtQKW5/N/Az7TW9yulfgNcA9w+2J3W19dTUVHBjBkzUEplr7dZRGvNkSNHqK+v\nZ+bMmaPdHUEQhJRkJaSjlJoCXAj83lxWwDnAQ+Yq9wKXZLLvQCDAmDFjctbYAyilGDNmTM4/hQiC\nUNxkK4b/c+BGIGoujwFatdZhc7kemJzpznPZ2FvkQx8FQShuhmzwlVIXAQ1a6zfszSlWTVlLUSl1\nrVJqrVJqbWNj41C7IwiCMKK0dgf5+4YDo92NAZEND/804ANKqd0Yg7TnYHj81Uopa4xgCpDyE9Fa\n36G1Xqa1XlZX1+9EsVHB6XSydOlSlixZwnHHHccrr7wy2l0SBCFH+PJf1vOl+9axr7l7tLvSL0M2\n+Frrm7XWU7TWM4DLgWe11h8HngMuM1e7Cnh0qMcaLUpKSli/fj0bNmzgRz/6ETfffPNod0kQhBxh\nf4sfgO5gZJR70j/DmYf/deCrSqkdGDH9O4fxWCNGe3s7NTU1o90NQRByBKfDiGBHoimj1jlFVrV0\ntNbPA8+br3cCJ2Zz/9/9+2bePtCezV2yaFIl337/UX2u4/f7Wbp0KYFAgIMHD/Lss89mtQ+CIOQv\nlsEPRaL9rDn65JR4Wq5ihXQAXn31Va688ko2bdokmTmCIMQMfj6EdPLK4PfniY8Ep5xyCk1NTTQ2\nNjJu3LjR7o4gCKOMw3T8AiEx+AXH1q1biUQijBkzZrS7IgjCKLL3SDfvHO6Iefh+MfiFgRXDB0NG\n4d5778XpdI5yrwRBGEkOtvm54Bf/4sHPnsLc8RVc/OuXaOkOceKMWkBCOgVDJJL7F1IQhOHlyU2H\naO0O8efX9/KdDxxFS3cIgL1m/n2bPzSa3RsQIo8sCIIwAKy0y6bOnoT2Q+2GhlZL16DFgEccMfiC\nIAgDwDL4/9h4kDf2tFBVkiiF/sDafaPRrUGRFyEdrXXOp0BqnfuTLgRBGDxfum8dUa1ZNLEy1raj\noYNZdWWs29saa2vo6CES1bFB3Fwk5z18n8/HkSNHctqgWnr4Pp9vtLsiCEKW+fuGA6zceDBhJq3b\n6SAYjrJ4ciVvfus83nvUeAC6guF0u8kJct7DnzJlCvX19eS6kqZV8UoQhMLB7mi2dMdj9G6ng+5g\nhMWTq6gt83D2/HE8tfkwnYEwlb7crXqX8wbf7XZLFSlBEEaFsM2r33Ok29YepaU7SLUZxy/3Gaa0\nqye3PfycD+kIgiCMFsFwXB+noSNe0e5QWw+t3SFqyzwAlHsNg/+HV/eMbAcHiRh8QRCENNgNfmNH\nPB3zv5/cCsQF06zIzx9fE4MvCIKQlwQjdg+/hwmViYkZU2pKATh5liG1csqs3JZcEYMvCIKQBruH\nr7UxycrnjpvNy0+YCkCJx8n88RVUluT2sKgYfEEQhDT0hHtr3I83vfxZY8tw2HLuPS5Hwg0iFxGD\nLwiCkIZkA37anDGxbJ0jSVIKHpcj5Q0ilxCDLwiCkIZX3m1KWP78WXP4wQcXAzBjTGnCe9488PBz\nO+AkCIIwinx/5ZaEZZ/bycdPms788RVMq000+B6Xg84cz8MXgy8IgpAGpeIplwClHqMOxjJTA9+O\nx+mgJ5TbHr6EdARBENIwqaqEDx47melm+MbnTl/4yOt2xtI4I1GdoL2TK4iHLwiCkIb2QChBBrkv\nHUyP08Gupi6uu28dOxo6cbscPPqF04a/k4NAPHxBEIQURKOazp4wFT4XN1+wkAqviwlV6RVxrRz8\nxzYc4O2D7WzY15pzKr9i8AVBEFLQFQyjNVT4XKxYPIG3vvvePkM6Z86r69XWkWODuGLwBUEQUmBl\n3FQMUO741Nlje7XlWtlDMfiCIAgpaOkyipInlzJMh8fl4C/XnpzQljw5a7QRgy8IgpCC7Q0dAMwc\nWzbgbSZVlyQsi4cvCIKQB+w1JRQGY/Cn1CQafPHwBUEQ8oCuYASP09HnQG0ySinev2RSbFk8fEEQ\nhDzAHwxT4hm4sbc4b9H4mIRysxh8QRCE3Kc7GIlJKQyGDyyZxNbvXcCESl/hGXyllE8ptVoptUEp\ntVkp9V2zfaZS6nWl1Hal1F+UUp6hd1cQBGFk6A5lZvAtass8hWfwgR7gHK31EmApsEIpdTLw38DP\ntNZzgRbgmiwcSxAEYdjRWrNy40G6g5GM91Fb5qG5u8AMvjboNBfd5p8GzgEeMtvvBS4Z6rEEQRBG\ngu0Nhkk72BbIeB+1ZZ60g7av7TzCjJtWsrOxM+X7w0VWYvhKKadSaj3QADwNvAu0aq2tecX1wOQ0\n216rlFqrlFrb2NiYje4IgiBkzANr9nH/6n0ALJlSlfF+ass87D7Szft/9RKBUOKTwlObDwHwpPl/\npMiKwddaR7TWS4EpwInAwlSrpdn2Dq31Mq31srq63loUgiAII8mND2/krpd3AfCHa07KeD81pcaw\n5Vv723jX5sm/ubeFu1/eDcCPn9xGQ3vmTxGDJatZOlrrVuB54GSgWillyS9PAQ5k81iCIAjZJhyJ\nFzBRCiq8mSvI15bH81R2N3XHXj/x1sGE9f7nn+9kfIzBko0snTqlVLX5ugRYDmwBngMuM1e7Cnh0\nqMcSBEEYTtoDcXXLUrcTh6MvBfy+qS2NG/zDNi++3Z+ooDmu0pvxMQZLNgqgTATuVUo5MW4gD2it\n/6GUehu4Xyn1fWAdcGcWjiUIgjBstPlDsdeBIRYkry2LG/xWW7aO05l4E/G6Rm461JANvtZ6I3Bs\nivadGPF8QRCEvKDdZvCHWqLQbvDt6Zn2urcOBYERrIMrM20FQRBMhpJ3n0xNWVxWuaXbuJF0BEI8\n/GY9AE6HIqphZVJMfzgRgy8IgmCSnD45FGpsMXwrH/93/9oVa3v7v94LwK6mLoJDDB8NFDH4giAI\nJtk0+G6ng923XsjyheNjHr49ZOR1xWUbOkeoFKIYfEEQBJPhMLw1pe6Yh98RSL3/jkAoZXu2EYMv\nCIIAHGoL8LWHNsaWz5qfnYmgtWUeWrqDaK1p6uxJuU66G0G2EYMvCIIA1LfEJ0f97fOncvvHj8/K\nfqtLPfSEo/hDEXY2dVJd6ubx694DwOfOmg2IwRcEQRhRPLZ8+IUTKzMqfpKKWjNbZ3+Ln33Nfv7t\n9JksmlQJwPsWTwQkhi8IgjCihGyyCtmcDFVtZuuc97MXARhbHp9ZW+4zpkJJDF8QBGEEsU+AUipz\nSYVkkm8elpEHqIgZfPHwBUEQRoyesJGSedfVy7K635NmjklYLrcJslmvn9g0MpOvxOALgiAQ9/An\nVZdkdb/JYwF2g+9zG++9trOZA63+rB43FWLwBUEQiE+6sk+IyhY3rpjf7zpvH2jP+nGTEYMvCIIA\n9JjyBj539s3i58+aw91XnwDA7LryhPeuPnUGAAfbxMMXBEEYEfzB4fPwAc5eMI7dt15IjU1FE+Bb\nFy3C5VAcGEL93IGSDT18QRCEvKe+xU+J20l1ibv/lbOI06H4xeXHMnd8ef8rDxEx+IIgCMDOpk5m\nji0bUpWrTLnwmIkjchwJ6QiCIGBUuxpT7ul/xTxGDL4gCAJGDN9KkyxUxOALgiAA/lCE0izp5+Qq\nYvAFQRAwPHwx+IIgCEWAhHQEQRCKAK013RLSEQRBKHxCEU0kqin1FHamuhh8QRCKHmuWrYR0BEEQ\nCpR/bW9kxk0ruX/NXgAJ6QiCIOQim/a3MeOmlazb25LxPr5uFi3/0RNbATH4giAIOUdnT5iLfvUS\nAI+uP5Dxfk6ZPTZhuURCOoIgCLnFp+5eHXvdHcxeecBsFS7PVcTgC4IwIhxo9fPDx7ewo6FjyPta\nv68VgIUTK2ns6Ml4P109iTcLCekIgiAMkVAkyqm3PssdL+7k8jteH9K+AqEI4ajm+nPnMrHKR2Pn\nEAx+0tNBiVvSMvtEKTVVKfWcUmqLUmqzUup6s71WKfW0Umq7+b9m6N0VBCEf2XYo7tU3mQb6yU2H\nMqry1NwVRGuYUOWjrtzLpv3t7DnSlVG/OpM8/LoKb0b7yRey4eGHgRu01guBk4EvKKUWATcBq7TW\nc4FV5rIgCEXCc1sbmHHTSnY0dLI7ySCHI1H+/U9v8JHfvjro/T7+1kEAqkrcMe36z/xhbUZ9tAqX\nA8waW1bwBn/Izy9a64PAQfN1h1JqCzAZuBg4y1ztXuB54OtDPZ4gCPnBI+v3A7D8py/0eq+rx5jo\ntK958B7+91duAaDS5yZo1qFt7gpl1MeecCT2utAnXUGWY/hKqRnAscDrwHjzZmDdFMal2eZapdRa\npdTaxsbGbHZHEIRRoqE90Ge6ZEdP3ECv2d2c0TFKvU5OmGFEimfXlWW0j55QlCqzpGEoEu1n7fwn\nawZfKVUOPAx8WWvdPtDttNZ3aK2Xaa2X1dXVZas7giCMELubugiEIgltJ/5wVa/1zphn/L69LkfM\nwwe47altvda95p41XPCLf/V53KoSNx89YSoACyZUDLrfYHj4x02rBuC8ReMz2kc+kRWDr5RyYxj7\nP2ut/2o2H1ZKTTTfnwg0ZONYgiDkDmt3N3PWbc/zh1d397vut9+/iE+dNoNQJMpn/xiPuc9PYaxX\nbW1gy8F2tNa93nM6FO+ZO5bZdeUopair8NITzsw77wlFmTG2jNW3nMv1y+dmtI98IhtZOgq4E9ii\ntf6p7a3HgKvM11cBjw71WIIg5AahSJRH1+/nst8Yg647G7t4bmsD7xyOZ+MsmliZsM3k6hJKPU6i\nGnYf6Y61P7i2nmfePhxbDttCKy3dibH5YDhKJKo5cUZtrM3rcsRi+YOlJxzF63IyrsKH1yUx/IFw\nGvBJ4Byl1Hrz733ArcB5SqntwHnmsiAIBcD/Pvcu19+/PrZ8/5p9fOqeNXzyztdjBvu9R03g1x87\nDoBjplThcztTShf4QxH+zZZlYw/3tPkTDb6lalnqjeebeFwOejKIv0ejmmAkitdVPNORspGl8xKg\n0rx97lD3LwhC7rE9zWzZxo4eOgJGbntliSs2IGrNYO1Lbz4cifL9lVs4wea9J48NWBOl7DNiPc7M\nPPygeZPwusXgC4IgpGV8pS9lu8fliHnllT43pV7DMHebnrl1A7DwuR2xXPhX3j3CPa/s5p5Xdsfe\nTzb41n7sBj/TkI4lyVAMoRyL4rm1CYIwZLQ2KkP5kwyxRSAU5WBbADCM+8IJlUyrLeXrKxYAUFOW\naPA9zrgJSg7fAGw/3Jmw3B3z8JNCOuHU/emLp81xg9qkPhUyYvAFQRgwX31gA7O/8TjdPWGmjynl\nD58+sdc6X7pvHQCVJW5KPE5evPFsTptjyBBXlXgS1o3aknBSGfwbHzb06lu7g4Qj0TQevjMjD//5\nd4x5P+8/ZtKgt81XxOALgjBg/rbOmD3b5g9R6nFxxry62KSnFUdNAOJaOcnhG4Dq0sQ2u2f+8o6m\nlMcMhCIs/a+n+cHjW+g0xwfKbIO2JR5n7EZgsb/Vzwk/eIbdTak1dkKRKC+aBt/lLB4zWDxnKghC\n1tjV1EWZ6WXf95mTufmCBdz+ieOYWlsSW6eypPcQYbXtJvCvG88mFIm7+E9sOpTyWIfbjRDRyo0H\nOdJl3EzGlMWfFCq8rl4iaI+u309jRw/3maULk0mWRS4WxOALgjBodh/pZsZYw7MfV+njs2fORinF\n765cFlunptTTazu71z+puoQlU6tT7v/0OfFKVPUtht5Ohc9FU2cQSFS1LPf1NvjWfC2VJoHQyiQq\nNsTgC4IwYCZVxbNzzk8hRbBgQiXnLBjH+5dMSilGZg+fOB2KO69ahidFHvwvrzg29nqrKa1c7nPT\n2NFDhdeVsO9yr4vOQDjlrFyVJmHcSu+8/ePHpV6hQJG0TEEQBowlRwzwnrmpta/uuvqEAe9vbLmX\n9y2ewCPrD/DBYydz7LRqass81JZ5+PLyufz8me1sMKtb1Za66ewJU+5LNFs+t5NwVLO9oZO7XtrF\nty5alNL427HGApL3VegU19kKgjAk7Jk0mdZ//eTJ0xlbHg/JuE2vv6bUw5WnzIi1Hz25CoDHNhiq\nm6GIpicc7fXkMKbcCB2d/7MXAThl9hhbSCc1HT29B3+LAQnpCIIwIKJR3StWngnfu2RxglCZlZqZ\nnA9fmZTl0x4IEQhFekkhfHTZ1ITllRsPYvn3//v8uyn7YHn4FUVm8IvrbAVByJiOQBit4cYV87nK\n5okPFStjprYssdpURVK4pamjh6oSdy8PPzmt8p9vH+afNjG2ZHrCkVi6poR0BEEQktBac++ruwGo\nK/dmNRRiTaLSJMbdK32JHn5jZw+Ta0oGLXYWiWqctrGHGx7YwD82GmUSy4vMw5eQjiAI/bJ+Xys/\nffodIPWEqqHw/iXGTNe54xJ18e0hHZdDEYpoDrf3pMz+SZeNA9CeNIP3n5vj3n9ZH2JuhYgYfEEQ\n+sQfjCQUCc+2wT97wTjWfes8TpxZm9BeZhsUtoz/kc4efCnULa1B2snVJb3ea+4OJiyPr4qHjuxZ\nR8WAGHwhLwiEIlx992re3Nsy2l3JKx5+o569tmIjmfDn1/fEJjxB78HUbFBT1nuSlrK57VbopSsY\nSenhu53Guh9YGtfFuWCxIfXQ0pVo8MdVpFb6LAbE4As5z9NvH+aiX73E89sa+dHjW0a7O3lDOBLl\nhgc38KHfvDKk/aikeEm2PfyBYI+1p9LUf/DfT+XaM2ZRY9PqsUonPrMlsbqqdTZXnJiY3VMMiMEX\ncp7P/GEtOxoMmdxJKR7ZhdR0mYJilu77T59+h/f8+Nl+JyXZCUWi/O9zOxLahsPDT8eHjpsCJGbT\nnDizptd6S6dW8433LUyoqGWVQfzNC+/S2h3kG397i66eMJ09Yc5fNJ4ffvDoYe597iEGX8h5rMd1\n6D0AJ6TH0o63+OWq7exr9scmMg2ER9cf4IgZEvnF5UuZM648IbY+3HzzwoWct2g8nz9rdqxt0cSq\ntOvbs4eWTovr9PzkqW383+t7+eWz29l6qINyn6vXk0sxUFxD1EJecuzUGlbvbmbJlCoOtfeMdnfy\nBrsi5IZ9rUypKaG+xc/upoHH9O03jYuXTubipZOz2sf+qCnz8Lsrl/FWfVusbVptadr133f0RADO\nWTCOUo+LU2eP4ZV3j/B38yb32xd2AvHauMWGePhCzrFubwszblrJpv3Gj7w9EGL5wvEsmlQVk8oV\n0hMIRbjmnjW8urM51nbxr1+OqU4GI4ax01r3WynqQKvxeb/xzeXD1NuBMb7SyKxZvnBcn5IOPreT\nS4+bQrWp1PmbTx5PTamb9kBqNc1iQwy+kHNYsyRfMAtUdATCVPpcTKj00dwVzKicXTGxr7mbVVsb\n+NYjm1K+32PWkL1/zT7mf/NJDrb5U673+FsHeWlHI0dNqmRMuTflOiPFuEofb//XexPklwdCpc/N\nokmVvdrD0cFXyCoExOALOUc4YvwYXWaOdEcgRIXPxQQzf7pBwjp9klz9KZmg+fk+Ylav2tnYuypU\na3eQz//5TTbtb2f++Ipe748GpZ7M4u72IisW4Whxuvhi8IWcw/oxOh2KaFTT0ROmssTN+Eojf/qQ\nhHX6pL9qTpaHb8kNWDcAO/YCIaly5PMJKwxoV+j87geOGq3ujCpi8IWcI2x6ZC6HoitoCHYZHr5h\n8CWO3zfJipbHT4+nMY4p88QMvGXwW5NmokLiU0JN6cjn3WcTq6zi+UcZBVu+9t75TB9TNppdGjUk\nS0fIOSwP3+V0xDzNCp87NuGnWMvTDZSupHTMS4+bzBt7Wlg6tZrOnnBsDMQSIdu8v50PHpt+H/ku\nMHb7J45nze5mjp1aQygc5apTZ4x2l0aN/L6SQkFij+Gv3WNIKVT63FT4LIMvufh90dWTGMP/yLKp\ntPvDfOykaXzsd68RDCeGcH7/0i5mjyvnihOnxdq6bfuYlyMx/EyZVF0SSyf9yYeXjHJvRhcx+ELO\n0WxO9IloHUvNXDSpklK3E6XEw++P5Bi+2+ngc+bEpbcPtrP5QDvBcJTuYIRKn4v2QJib//oWdeVe\nlpt1aq2w2aNfOC1toXEh/5AYvpBzrN5l5I+HI5q27hDjK73MHFuGw6Eo97rE4PeDZfBTxd6t/PO3\n9rfhD0USjHlTZzz76WfPvGPuI78HbIVExOALOUXEzMoBQ8elpTtIdUnc6FT63LRLSKdPuoIRyjxO\nnr3hLFbdcGbCe589cxYAv3txJ/5ghBK3k1l1xgCmXRTNesqaWivaRYWEGHwhpzhi8zK/v3ILh9oD\nVNk81XKvK1aPdKB0B8Ns2NeatT7mOl09YUq9LmrKPMyuK0947z/Onw/Ak5sPsfVQByUeJ7/5xPEA\n9Jix/YNtfrqDEW6+YEFR6s0UMlkx+Eqpu5RSDUqpTba2WqXU00qp7eb/3hJ3gmAjEIqwvzVx1ufG\n+raEUncVPheH2wPcv3pvbHC3P775yCYu/vXLNBRBOmcoEuX+NftiCpnJuJPqv5a4nTHBMSt7Z5Up\nJ3zuwnHD2FNhNMiWh38PsCKp7SZgldZ6LrDKXBaElESimgXfepIP3d5bu91e4ajC52JDfRs3/fUt\n7vjXzn73G41q/vqmMaP0/jX7stfhHOVQ2+BuaiUeJz4zPdPy8DcfaKem1N3r6UDIf7Ji8LXWLwLN\nSc0XA/ear+8FLsnGsYTCxMoKSTXj3eO0G/y4t7+vuX/VxyO2akdWTdZCpsH07PuKvf/9i6fHXvvc\nTrymhrw1AzcQilDhc0s4pwAZzhj+eK31QQDzf8rnQ6XUtUqptUqptY2NjcPYHSGXsZQcLc6cVxd7\n3WML3dgLYdy3eh97jvTWgbF4cO2+mACbRWiAYaB8ZWejUSjmt59ILzI2d3zcc68ucccmYAVCRkjH\nH4ykrBsr5D+jflW11ndorZdprZfV1dX1v4FQkLzwTrwM3TcvXMgtFy6MLdsHae3xfOjba//aQxv5\njwc3JLR19xSu0qY/GOFrD21kTJmHeePTh2MsAw+GTo7LoXCoeEjHH4okVI4SCofhNPiHlVITAcz/\nDf2sLxQpT246yK+feze2fNqcsfhccYNjr3hVnZRbPqYstWxvcrUni2TZgULi/1bvBaDVH8LlTP/T\ntodqaks9KKXwuZ34TQ8/EEpdKFzIf4bT4D8GXGW+vgp4dBiPJeQRrd1BTvrhMzz8Rj0A//6nNxPe\nnze+Ap8n/tW0F6uoTqqnar8Z2Ek3eJnuRlAI7G4ywlt//reTBrzN2Arjhjmh0sedL+0iEIqIwS9g\nspWWeR/wKjBfKVWvlLoGuBU4Tym1HTjPXBYE1u9r5XB7Dzc8uKFXjB0MFUd7SCFis/jJHn5yJSOL\ntqTat1ebglmFPEu3PRBi+phSTp41pt91t35vBf/3mZNYMsWoD7tgoqGX8/quZjbUtw1oQFzIP7KV\npXOF1nqi1tqttZ6itb5Ta31Ea32u1nqu+T85i0coUuzyvVfdtTrhvae/cgaQqNBoz9ypMz1SSxIg\nnZCaFZ6wOM6UCL7nld0AvPhOI//zz228vKOpYGbutvuNQjEDwed2curssbHwzjWnGzNwV20xqo3t\nbEo/GC7kLyKeJow4TWkmBY2v9DLXVGa0x5m1zcM/bloN9376RI6aVMk196xJ6+EHkgz+uQuMJDHr\n5nGleaP51bM7WL5wHL+/6oTMTiaHMEpBZqZdb+nuWFlMx5iev1BYjHqWjlB8pPMekzNo7vikMeU/\nYnPxlVKcOa+OseVeKnzu9B5+MDH9sszrYnZdGdEUif6F4s22Bwbu4SdjiaRZYx//edGirPVLyB3E\n4AsjzoZ9rSye3Luw9NykVEIr5z6qU9cfrSxx0e5PbfCTPXwwjH6qLJ18L/BhMRQPv9IcDG80tYy8\nLhm0LUQK45su5A3hSJSthzr45MnT2d/ip6XbMNg1pW5+d2XiZCGrDN35iyak3FeF1512ENaK4X9k\n2RS6zHJ9ZR5XynqvZZ7C+BkYMfzMDL41UN7SZVwPj0t8wUKkML7pQt7wrUc30xOOsnBiJatvWc7c\nW54AjFTMMeWJOfWTq0vY+J3zqUjjgVeWuNIOuFoe/jcvWhTzesu8Tg609l5/Sk3+SwCHI1G6ghEq\nSzL/SZd5XTFZZK8Y/IJErqowotxnTg6aP6ECt9PBF8+eA0A62ZbKPjRdKnxuAqFoSrmE76/cApAw\ngavM6+JIVw+PrNufsK41w/SnT7/DGT9+LkGiOR9o6AjEMp8y9fCNbV2xJyPx8AsTuarCiDK52vCm\nF000YvgfOn4KAKfPGTvofVWaMf7ksI7l9U+s8iUYrkqfm8PtPXz5L+sT1veHImit+eWq7ext7uYZ\nMzUxH1i58SAn/mAVd728G4h/Jplgn6wmBr8wkasqjCjlXhcrjpqAw2F47TPHlvHi187m82fNGfS+\nLG82eeB2Z6ORdfO9ixcntNeUJZbrs24ygVAk5uUDtHYPb16+Pxjh6w9tTCgpmCmbDxg1f3+5ajsQ\nH/fIBE18cFxCOoWJXFVhROkKhin1JmaATBtTGrsBDIaKJA9/X3M3i7/9FP/cfAiAGWNLE9avtc3S\nvfXSo/nTv53EGfPqaPOHEgbE4mq/AAAgAElEQVRzUw3sZpO/rqvnL2v38f+e3THkfY2riI97VHhd\nnDAj8zpD33n/UbHX4uEXJnJVhRGlqyectTRIK5XQCuE8t62Bzp4w//u8IcRWV+FLWN/u4V9+4jRj\nnXIvTR09dNnmAHQOs6KmdUMZrNx8IBThpoc3JkhCR2wZqzecP29IGvaXnziNOeOM1FhPH+JrQv4i\nWTrCiNIVjFCapTRI68ZhefjJ6ZXJN5ZjpxrerzWOAIZUQ2NnDx098TDOcHv4AbPQyGAliLccbOf+\nNft4becRnv/a2QD4bfMKjjHlJobCQ/9+CsFwVIqfFChi8IURIxSJEgxHKfNkZ1KPVYv1vtV7WbF4\nQoJgWpnHiTMpTDRtTCl3f+oE5thK902rLSUU0by0vSnWNtwSylYmTCTNhLJ0WJk49kHqbnOOwXXn\nzuWYyUOXQ6gu9fS/kpC3yHNbFnhjT3PaotFCHMtQZTr9P5lS88bxwjuNtPlDtHbHyxmmS088e/44\nptbGY/tnzDMGbn/0xNZY23B7+N3m/l/YNrgKb1YhmCNdwdhg7SvvHgHgq+fN61MDXxBADP6Q8Qcj\nfOj2V7nm3jWj3ZWcx9K9GUquuJ0S25PCku/+k7cPdqR8ry+SPdr54ytiIZfhwhoj2HNkcBLEds/+\nZ0+/w7uNnazf15rVvgmFjRj8DOgOhvnwb17hgbX7WLe3BYCN9W34g4VbPi8bZN3DT4qB2/PnBxqC\ntoeXrjt3LnUVXnrCw3sdrSIs/lBkUDV27bOK61v8PLjWKCDz8OdOzW4HhYJFDH4G/OaFnazZ3cKN\nD21k5VsHY+0L//NJDrT6+9iyuLEMfnmWDH5fIYyB6uPYByfryj343I4R8PDjnnrnIAqy2LeLak17\nIMTYcg/HT888FVMoLsTgZ4Bdn33VlsRSvavyaJbmSGOFdDJVdBwM4RQyyP1RV+HF63KOgIcf3791\nE9zV1MXrO4/0uV27P/FG0RnIXoqrUByIwc8Ae9y3zR/i2GnxdLguCeukJdshHYDrz52bsFxX4eWk\nmbXcuGL+oPdVVeLBOwIevl3D3wrTnH3b83z0jtf63W5CpY9PnTaDjkCYzp5wLFNJEAZCwRr8zQfa\n2HKwfVj2bQ8P+0MRJlTGJ/jc9tS2gi6U/cRbB3ljT0tG297yyFtA9gZtAb5y3rxYIfMFEyr4141n\n85fPnsLZ88cNel8VPpfp4UcTnuKyTZs/xOw6QwJhMNldHYEwFT4XlT43HT1h2vwh8fCFQVGwBv/C\nX77EBb/417DsO5D0yD/eZvDDUc0fX90zLMcdbbqDYT735zf50O2vDHrb1u5gzHPOtpFac8tyVn/j\nXJ788hn4BjmZyU6514XX5aCps4eLfvVSFnuYSJs/xFGTjJz5+paBZ+p09BgVraxzfGNPS1afloTC\np2ANvsVQcqojUc13HtvMxvrE1LdAUtjG8jAt7PHj5q4geweZfperbD/cmfG279i2zbZOS3Wph3GV\nvv5X7IdynytW7nDzgew/HYYiUZ7f1kAgFGXuuHJcDsUBm0JlfxgevjshW0c8fGEwFLzBb01TAm8g\nHGoPcM8ru/nA/3s5od2fVD7vsuOnJiy/Zht8O+snz3HGT57LuA+5xMG2eAbSYEMezV25PzGt3Ovi\nsM0AZzus87d1+7n6bmO+RnWpm8oSd68snb7SNK2Qzr+dPjPeZ/HwhUFQMAa/qyfMObc9z5rdzQn5\n8Olqng6E7jRPB/5QhDE2Ia55tlqsV54ynZd2NMVmfbYPIu0u1znQGjeG3YMcnG42S+d975LF/aw5\n8ljXz+ty8LOPLo212yWTs4G9GHtliZtyrysh1RJS1+K12nc1dVHhczOm3MsFi42yj+Xe4c94EgqH\ngjH4bx9sZ2dTFz98fAtHbN5k2xAMfvKP0cIfjOJzO5lSU8Jx06oTcrmXLxyP1rDtUEfCNm8PQ4hg\npGnoyPxzbTFvgB82C57kEvdfewqPfOE0lFIsmlTJNy9cCEBPlrN17N57lWnwk4u3NKQZxP3R40YF\nr4Z246brML9z5V4pNi4MnIIx+BZRDU+8dSi2PBSDn86LDYQj+NwO/nXj2fz186cBsPob5/Lazecy\nqdqIJR9qT4zNXnf/uoz7kQu0+UP85oV3Y8vpasmmY/OBNsZXeoc0qDpc1JZ5WGpTmrT6WN/azQNr\n92XtOPbvU1WJmy2H2nlmy+GEcabP/vGNlNtuO2w4EM3mjTMcHZ4BcKGwKZhvi/Vj2rCvlQ02fZGh\nhHTSDfgGghFKPM4Ez94aNOwIGMZif6s/IbR00szajPuRC3znsc0Jy81dQVbvauaYKVUDMuKbD7Rz\nwoz8+Ays87n67jU0dvRw5ry6hEysTPEnGXxriGCDLSlgR0PqgfHqEiOEOG9cBQAhUwi/fAQmsQmF\nQ8F4+OkMe6YefjgSTZDJtQ/E+kORtFrmFT4388dX8Oi6Awk51vnsiW3Y18rfbIW/HQr+8MoePvLb\nV7ntqW0D2kebP0RtWX5I7/rcxs/Cun7X37+OV95t6muTAWEf7K+r8PLJk6cD8PKO+L7TySRMqDJu\nON/+wCIgHm4cW54fn6mQGxSMwU+Ohf7+ymVAZoOmgVCEE37wDP/5aNyrvdw2C9IfivTp1V52/BS2\nHe6ISdhC9gcAR5KLfx3PUqoqcTOuwsdTbxthsx2N/adqRqOadn9oRCQVskGyKsNrO5v52O9eH/J+\n/cEINaVutn5vBRU+Nx9eZoxnPP7WITxOB0dNqiSqNQGzqPqDa/fFYvZdPWEmVPpixWOs7J58uYkK\nuUHBGPxDbYmiZZan9MtV22noGHiuM8AZP36Olu5Qr5uIlabnD6b38AEmmnH8DfX5b/CTUxNL3E6q\nS+PhiOe3NRLtR7emMxgmqo2bRT5QOQypjs1dQf742h4CoWjMWbBugAfb/FSWuJlVV866va2s+PmL\nvLrzCF97aCMn/nAVKzcepCsYpsw2QGvJP+fLZyrkBgVj8Pc2J05ushfKtlczGgjpMiWCZpZFoB8P\n39I32XygDYcyHt+DeWrwGzsTP4srT50eqyVrkTwvIZm2biOsli/G6cx5dVnPJvr1c0bBcvtnZX2O\ngVCUEo+Dk2cZYxy7j3QnPFF84f/epLMnkhAW/NUVx/KtixYxrTaxULsg9MWwG3yl1Aql1Dal1A6l\n1E3DcYxntx7mkfUHEto8TgdfXm4Ia2UrM8QadAuEon16+NYPc3+L4blVeF3DrsA4XOxLupF+7szZ\nsUpTFv3NZrYKfUypKelzvVxBKRV7Qjxu2tDrxEJcMM36TkKiiFyp28Wps8em3b4rSShtUnUJ15w+\nU2rPCoNiWA2+UsoJ/Bq4AFgEXKGUWpTt46QS41JK8cFjJwODnyRkZ/74itjr7mCESFTT3BWkujS9\nt2oZ/MbOHkrcTjwuR956+LuaEg2+UorunsTP0yqzl46dTUacf/a48j7XyyXOmFfHJUsn8f1LjuYr\ny+cBxkB+phzpDLJoYiVfNvcF4HY6YjfPEo+TmWPLOHX2mJTbJxt8QciE4fbwTwR2aK13aq2DwP3A\nxdk+yKKJlYDxI7VjxTn9oQhPbT7EKzv6D+00JYUwvO74R9QdjHCg1U8wEmXm2LK0+7AMfkcgTInb\nidfl4J9vH+YTvx/6wN9Is7upC6dDcc+nTmDldacDcP5R4wG47pw5AHz5L+v73EdTRw9Kwdhy7/B2\nNotMqi7h55cfy6JJlbGsnWCGBv+/n9zKqq0NsVx6O1Yc33piXJymEPnWQx15nekl5AbD/Q2aDNhn\nrtQDJ9lXUEpdC1wLMG3atIwOUuZ1sfaby4lENSf9cFWs3cpo8AfDfPaPmwDYfeuFfe7r4iTdHIft\nkdkfjPCmKQ1sqR2mwv6o7jM9fICXBnDDyTV2NXUxtaaEs2xyw9ecPpP3zK0zbo7PGrFprXXa8EJL\nd4jqEjdOR36GH7zm9esJRSnNICnm9ueNCWuXmk+cdipLXBxqjxdk7yvfPz8/PSGXGG4PP9V3NCGl\nQ2t9h9Z6mdZ6WV1dXYrVB8bYcm+Cvg3EvabkAd2+2J9UotBlM1KdPWH+9Poe5o4rZ/HkyrT7qPS5\nY9v53I6cnF06UPa1dDNtTOLTjFKK+RMqErRhrMIvz21rYMZNK9ltqk5qrfnja3to6c58Atxo4zWv\nXyaZVne/vAuAGWNK+cmHl/R635pQZQ1oW2MGdoE0iyc2HerVJgiDYbgNfj1gl5KcAhxIs+6QSa5x\nanmUf3ptb6xt0/420vHm3t6FPexhokPtft4+0M75R43vc7DM4VCx8IXP7ex1I8onOgPhtGmKp88Z\ny4IJxhiHNSh5/2rjs95kzkFozWNDbxHz8DMYeP/u398GSDvL+LJlU6jwufjYScbT7bHTavjHl07n\nFlPPJ2FfHzhq0McXBDvDbfDXAHOVUjOVUh7gcuCx4TzgrZcezcOfOyXt+7e/8G5K2dtIVHPp/8YL\ne1x4zEQAlk2vYfUt5wLwyLoDhKN6QEWjLS2dV949woSq/MhOSUV3MNIrK8fC4VB80YzjW3MWrAFy\np3lDtGaEXpPCY80XrCe0wZY+tGc4pRtw/ciyqbz1nfeyzHZDWDy5CqVUQgisutTNR06YmmoXgjBg\nhtXga63DwBeBp4AtwANa6819bzU0Lj9xGsdPj/94rj51RoKHunLjQZ7b1tBrO7sMwjNfPZNfXX4s\nj3zhNE6dM5YaM3D7wjuNAH2mz1l85j1xA3fVqdMHfyI5Ql8yEgC15mdjfX5hU+PFqkNg3QjyRUcn\nFdagbX/zDZKxf8+8GRR9Wf+f57HuW+fx1fPm8epN5w56e0FIZtiH/bXWjwOPD/dx0uFxOehIyhNP\nnkELibH7OWb6oKWg6E4KFQ0kJn/zBQvxuZ0smVLNxKoSPnvGLO59dfcgez/6+IMRSjzpvybzzZDO\n6zuP8PWHN8YmWVlyyJaHn8+l+CzN+cFWT2uzhbMGe7OAeLrxdUmF2gUhU/L3VzhAvC4HyRGcVHFl\nS+734c+dmpXjOhyKG86fH1su9bgIhKJEojrnslW6g2EOtPqZM64ioT0ciRKM9D3JbIw5VvFLM1sn\nts+eCC1dwZisRT6nFNrTbAdDfUvciZhaIzNihdGnYKQV0mF/lP7JZcfgUL1z7SEeikiuT2vxzFfP\nGFI/LB2U7mDuVcD6xartLP/pi7yTlCdueaXpYvh94Q9FOPZ7T/PF/zPqAORzKT7r6aRjkDUAth3u\n4ORZtfz9i6fziZPzN6wnFA4Fb/DtBbPnT6gwikCnkEy2ZlG6HKk/kjnjKhhX4c148pA1J2Aos36H\ni2e3GLHmnTbly91NXbFavr4MDH5yqb7J1fk7cG15+OkqoKXiS/etY/2+VmbVlXP0lKrYJEBBGE3y\n1+0aIF5X/Ic2b3wFFT5XSsnkULRvDx/gpa+fk3E/LA9/sHHgkcAyZPYslHX7Wthl5tJXZyB65k+6\nseXzXIRyXzykE4pEeXT9Ad6/ZGLCdyuZv28wso/zOSVXKDwK3sO3QjrHTavG53ZS4XOnfDSPmCXj\nknP57XhcjoQnhsGQyx5+V8zgx/vmD8aNv1W2cTBYpfggN+vYDga300G510VzV5CXdzTxHw9uYP43\nn0yoUWvniC1kmC8KoUJxUPAG3xogtUIxaT18M4bvGqYB1TJP7nr4FgkG3/a6v3kEL3397F5t9jTX\nRZPSz0rOF8aWe2jq7EmYbZtKdjsQinD895+JLddkosUgCMNEwRt8lxmisbRgKn2ulNkW8UHb4flI\nSs04cFcODto6zJtcwGbM/GY/v3fJ4n7j71NSZKBsPtAee51inlveMbbcyz82HkyolRBOUfilxfZk\nA1BTJh6+kDsUfAz/omMmMamqhBPNIuKVPjdbA71VC8OxkM7wePhWHHw4pAauuWcNyxeN54oTMxOf\ns87Y7uF3ByO4HCpWd7U/bvvwEjoCITbWtyXUvwWIFoLFN/nWI5tir5ONO0BLV+L1TXUzFITRouAN\nvtvp4KRZcY3xijQevhXScafJ0hkqNebgXXNXbyMxFMKRKKu2NrBqawMzxpRx8qzaQRfFsM7dPmjb\n3wzbZC6zxennT6jg1ie2xpbzOQffIpU3n+paJt8E8qXoi1Ac5P8vcZBU+Nx09oR7yfnG0jKHycOv\n9LlwOlRKr3Ao2G9eV/zuNX506dED9vSf29ZAfXN3TBTMLg5mzLDNLLPm9DmG9MSMMaV8+vSZCTeD\nfCXVM0pnHzO2Lz1uMucvmhAbrBeEXKDovo0VPheRqObNva1MqPLF4tOWBzdcBl8pRU2ph+au7IZ0\n2pLmFLy8o2nABv9Td69JWL775d2cPX8cZ8yroz0Qyniy1PQxRhjjxhULeN/REzPaR65x9ORKNuxr\nBYzU3RK3M2Ve/ppdzdSWebjtsiWxsRFByBUKftA2GUuf5EO3v8Jptz4ba7dS7IYrpANGTnZLlkM6\n7UkppnUVQ6sqdeVdqwE40BrIeLJUhc/N7lsvLBhjD/DNCxfFpKAnVPnM9N7eBn9vczdz6srF2As5\nSdEZ/No0WRPhiMahGNYfak2ZO+sxfGsQ+L7PnAwMPK00miImbedAq5+JVYPPvy9UfG4n5ywwMr3O\nXTCe/a1+Hn6zvlet4gNt/ozmLQjCSFB0Bj+dBxyKRvucdJUNass8CROSssFhU3d/cnUJ4yu9tPsH\nlvZ52BQ1S8aaqNbSHYwJowkG1qQ7uz7TtkPxjK9ntx5mX7OfSXksIyEUNsVn8MtTe1/hiMY9zI/h\nVSWerKdlWnnh4yq9VJW4BzwovPdI6rKPFT43PeEIoYguiOyabGKlWEaimouXTgLg1Z3xyVefvmct\nILNrhdyl6H7RE5LCFKFIFLfTQTgy/B6+z+3IqExeXxxo9VNT6sbndjKhqiTm8fdFTzjCu41dCW13\nX30Cz21r4MG19XT1GH0sE8GvBC5eOom9zd18+rQZVJd6eGt/G6t3tXBtkpBqqdwohRyl6Dx8j8vB\nhbbBRHtpvkxkgAd77EwKYYMxOGuXK7DY0dDJzLFGkfHJ1T421Lex3swm2XqonRk3rUwIOwAs+e4/\n+cbf3sL+QDOu0kulz40/FOFf243KXuU+8VTtuJ0OvnrePKpNuYTqEnfsBm6VzazwurhcShEKOUrR\nGXwgIb/ckkru7AkPewjD63ISDEdT1tRNRUtXkBk3reSBNfv42O9e44QfPJMw2BqKRHn7YDvzJxha\nNZNMzZtLfv0yOxo6efytQ0BcudHCmmBVU+rhPXONnPm6Ci97zBqs19+/HoByr3j4feFzO2Ozk60U\nzevOnTts8hyCMFSK8pu5aGJczMtKa+zsCQ97kQ5rsC+YRmUxGWsSz10v72LTfkObZteReChmR0Mn\nHYEwJ88yZCPsg4Uf+91rseMdSZMZVOZ1cfsnjufOq5YxrsJHbWmiR2+V9hNSYxh841pa2VfVpfKZ\nCblLURr8T502g+vNOqFWVktHYCQ8fNPgpwjr7DnSRas54LqvuZumzp6Ysqb9BmEP61hPJ2PKjGya\nibZ0wJbuYCx8tGZ3c6zdLulb5nVR7nVx7sLxAHxtxYLYex6ngyVTqzI5zaLB53bEPPwN9W1AvB6y\nIOQiRWnwlVJccPQEwPDw/7aunvX7WvEM86O4ldaXKo5/5k+eZ+l/Pc1X/rKe9/z4Oc6+7XlazIwe\nezHsjfWtMb11S3nTKq5Sayu2EYro2Ho7GjrZ3dTF/lZ/wsSvHQ2Jsf1yr4vT5hi6Q3UV3tgkNSE1\nPpeTlu4Q4UiUF99ppLrUzTFTqke7W4KQlqJNJ7CMWUcgxNcffguAymFOp+vLw7ewlCY7AuGYx28P\nyfzw8a384dU9vPT1c+g0s2msJxO7gZ5Q6Uuo3XvWbc8D8PmzZsfaLNE0O/vNwttWOElIj9ftpKmz\nh3//05scbg9wzJTqnCtQLwh2itLDB0PMDGD74Xgd1+9dsnhYj5nOw083iNuSJme/vsXPvuZuvvk3\n40ZljT1U2MYglk6t5khn79j96l3Nvdrs2BUzhYHxzJbDdARCGZWCFISRpGgNfpnHhUPBtsPxsMZI\nZOkAvXLx731ld8r1W/uYRPXpe9bEKneVmf0utykzdociNHb2MMtM2bQ4ZObpz64r45EvnNZrv9rU\nhbR0Y4T09NjqB3QEwgk3XEHIRYrW4DscigqfO+bhX3fOnGE/ps9tZs10BhPCOt/5+9u91p1Y5etz\n1uyOxviTSZlp6O06QB2BEPtb/KxYPCEhK6m+xc+ESh+rbjiLpVN7x5utff3xmpMGelpFy+fPNr4z\ny6bXmAZfPHwhtylagw/GIKfl8X5igJWdhsJx02pwOhQf//3rLPv+0+w50pViHcMIjyn39Arp2IuB\n26NA9rjxjz90DGPLvWw/3Ek4qpmR5OFb+07HnVefwI0r5jO2j3UEgznjyjl+eg1RrQlGouLhCzlP\nURt8e0WnkRAKqy71UGcepz0Q5syfPN9Lz/5L58xlxVETCIajvUI6t37oGJ76ctI8/iQ+csJUzllQ\nF5sINKmqJKEgOSTWm01m5tgyPn/WnEFXzSpWvC4Hb+41ZjYnh88EIdcoaoNv1bEFRiy7Ylxl4o1l\nY31r7PV/XXwUZy8Yh8flIBiO9pJSdjpUL8/7tg8v6XUM+wSssRUefnTp0bGavgB/vObEIZ2DEKfL\nVgTlbFM+WRBylaJ+BvW4Rv5+Z+mwWHT1GLVjj5lSFSsY7nE52G2qWTodiohNTqHGtv1PLjsmZfnA\nuePiA65jyrwsmFDJA589hVVbDqM1vGduXVbPqZixp8z6BlEDWBBGg6L28L963jwA/vGl00fsmMkS\nzP/56Cb8oQhLp1XHwih2LRYrBGQJcg2kQMv5R42PvbZPxjp34XiWLxqfahMhQ+pbZL6CkD8MyeAr\npT6slNqslIoqpZYlvXezUmqHUmqbUuq9Q+vm8HDOgvHsvvVCFk8eOQmBG23yBRDXs99yMJ4e2h2M\nhwk+ecp0PrpsKjecPz/W9tkzZwGkHSR0Ox0sm17De+aOlYlAw8yPLj0aSBxQF4RcZaghnU3ApcBv\n7Y1KqUXA5cBRwCTgGaXUPK11dsXg85D5EyqYObaMXU2JGTpnmKqVkDiYXFvm4QtnJ6aMfmX5PKbV\nlnL+oglpj/PQ507NUo+FvrjixGkDLhovCKPNkDx8rfUWrfW2FG9dDNyvte7RWu8CdgAyUmhy51XL\nerV9+rSZsdc3X7Aw9tqZIlvG53by8ZOmS6FsQRAGxXDF8CcD+2zL9WabAMyq662oaDfeVaVuPnSc\nESKQkIwgCNmi35COUuoZIFXs4Bat9aPpNkvRllIwRil1LXAtwLRp8mhsceOK+US15n226lyCIAhD\noV+Dr7VensF+6wF7nbcpwIFUK2qt7wDuAFi2bNnASkEVAO98/wIcCubc8kTK98dX+vjZR5eOcK8E\nQShkhiuk8xhwuVLKq5SaCcwFVg/TsfISj8sx7EXTBUEQ7AwpS0cp9UHgV0AdsFIptV5r/V6t9Wal\n1APA20AY+IJk6KTmrquXiSSxIAgjghpoQe2RYNmyZXrt2rWj3Q1BEIS8Qin1hta6d/pfEhJTEARB\nKBLE4AuCIBQJYvAFQRCKBDH4giAIRYIYfEEQhCJBDL4gCEKRIAZfEAShSBCDLwiCUCTk1MQrpVQj\nsCfDzccCTVnsTj4g51wcyDkXB0M55+la635rl+aUwR8KSqm1A5lpVkjIORcHcs7FwUics4R0BEEQ\nigQx+IIgCEVCIRn8O0a7A6OAnHNxIOdcHAz7ORdMDF8QBEHom0Ly8AVBEIQ+KAiDr5RaoZTappTa\noZS6abT7ky2UUlOVUs8ppbYopTYrpa4322uVUk8rpbab/2vMdqWU+qX5OWxUSh03umeQGUopp1Jq\nnVLqH+byTKXU6+b5/kUp5THbvebyDvP9GaPZ76GglKpWSj2klNpqXu9TCvk6K6W+Yn6nNyml7lNK\n+QrxOiul7lJKNSilNtnaBn1dlVJXmetvV0pdlWl/8t7gK6WcwK+BC4BFwBVKqUWj26usEQZu0Fov\nBE4GvmCe203AKq31XGCVuQzGZzDX/LsWuH3ku5wVrge22Jb/G/iZeb4twDVm+zVAi9Z6DvAzc718\n5RfAk1rrBcASjPMvyOuslJoMXAcs01ovBpzA5RTmdb4HWJHUNqjrqpSqBb4NnAScCHzbukkMGq11\nXv8BpwBP2ZZvBm4e7X4N07k+CpwHbAMmmm0TgW3m698CV9jWj62XL38YBe9XAecA/wAUxmQUV/L1\nBp4CTjFfu8z11GifQwbnXAnsSu57oV5nYDKwD6g1r9s/gPcW6nUGZgCbMr2uwBXAb23tCesN5i/v\nPXziXx6LerOtoDAfY48FXgfGa60PApj/x5mrFcJn8XPgRsAq9DsGaNVah81l+znFztd8v81cP9+Y\nBTQCd5uhrN8rpcoo0Oustd4P3AbsBQ5iXLc3KPzrbDHY65q1610IBl+laCuo1COlVDnwMPBlrXV7\nX6umaMubz0IpdRHQoLV+w96cYlU9gPfyCRdwHHC71vpYoIv4Y34q8vq8zXDExcBMYBJQhhHOSKbQ\nrnN/pDvPrJ1/IRj8emCqbXkKcGCU+pJ1lFJuDGP/Z631X83mw0qpieb7E4EGsz3fP4vTgA8opXYD\n92OEdX4OVCulXOY69nOKna/5fhXQPJIdzhL1QL3W+nVz+SGMG0ChXuflwC6tdaPWOgT8FTiVwr/O\nFoO9rlm73oVg8NcAc80Rfg/G4M9jo9ynrKCUUsCdwBat9U9tbz0GWCP1V2HE9q32K83R/pOBNuvR\nMR/QWt+stZ6itZ6BcR2f1Vp/HHgOuMxcLfl8rc/hMnP9vPP8tNaHgH1Kqflm07nA2xTodcYI5Zys\nlCo1v+PW+Rb0dbYx2Ov6FHC+UqrGfDo632wbPKM9oJGlQZH3Ae8A7wK3jHZ/snhep2M8um0E1pt/\n78OIX64Ctpv/a831FafdEo0AAAFuSURBVEbG0rvAWxhZEKN+Hhme+1nAP8zXs4DVwA7gQcBrtvvM\n5R3m+7NGu99DON+lwFrzWj8C1BTydQa+C2wFNgF/BLyFeJ2B+zDGKUIYnvo1mVxX4NPm+e8APpVp\nf2SmrSAIQpFQCCEdQRAEYQCIwRcEQSgSxOALgiAUCWLwBUEQigQx+IIgCEWCGHxB6Ael1AeVUlop\ntWC0+yIIQ0EMviD0zxXASxiTwQQhb5E8fEHoA1PHaBtwNvCYNuSLBSEvEQ9fEPrmEgyd+neA5nws\nNiIIFmLwBaFvrsAQcsP8f8Uo9kUQhoSEdAQhDUqpMRj6Jw0YmkZO8/90LT8cIQ8RD18Q0nMZ8Aet\n9XSt9Qyt9VSMylSnj3K/BCEjxOALQnquAP6W1PYw8LFR6IsgDBkJ6QiCIBQJ4uELgiAUCWLwBUEQ\nigQx+IIgCEWCGHxBEIQiQQy+IAhCkSAGXxAEoUgQgy8IglAkiMEXBEEoEv4/ysiyLkoVp9YAAAAA\nSUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3 = pd.DataFrame(np.random.randn(1000, 2), columns=['B', 'C']).cumsum()\n",
    "df3['A'] = pd.Series(list(range(len(df))))\n",
    "df3.plot(x='A', y='B')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 22.2 Other Plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plotting methods allow for a handful of plot styles other than the default Line plot. These methods can be provided as the kind keyword argument to plot(). These include:\n",
    "\n",
    "- `bar` or `barh` for bar plots\n",
    "- `hist` for histogram\n",
    "- `box` for boxplot\n",
    "- `kde` or 'density' for density plots\n",
    "- `area` for area plots\n",
    "- `scatter` for scatter plots\n",
    "- `hexbin` for hexagonal bin plots\n",
    "- `pie` for pie plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAD6CAYAAAC1W2xyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngGGEHWAYYQcYRtgBhhF2gGH+F8SV+oc1TAULAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(); # declare a new figure\n",
    "df.iloc[5].plot(kind='bar');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "New in version 0.17.0.\n",
    "You can also create these other plots using the methods DataFrame.plot.<kind> instead of providing the kind keyword argument. This makes it easier to discover plot methods and the specific arguments they use:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))\n",
    "df.plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 22.2.1 Bar plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x1c50ae10>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAD6CAYAAAC1W2xyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure();\n",
    "df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))\n",
    "df = df.cumsum()\n",
    "df.iloc[5].plot.bar(); plt.axhline(0, color='k')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD4CAYAAAAXUaZHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nd1ZG3wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2 = pd.DataFrame(np.random.rand(10, 4), columns=['a', 'b', 'c', 'd'])\n",
    "df2.plot.bar();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD4CAYAAAAXUaZHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2.plot.bar(stacked=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAD8CAYAAABXe05zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2.plot.barh(stacked=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 22.2.2 Histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1df88b70>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAD8CAYAAABthzNFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n7f3bAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df4 = pd.DataFrame({'a': np.random.randn(1000) + 1, 'b': np.random.randn(1000),'c': np.random.randn(1000) - 1}, columns=['a', 'b', 'c'])\n",
    "plt.figure();\n",
    "df4.plot.hist(alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x0000000020BD8630>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000020C43518>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x0000000020C5ABA8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000020C78240>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEICAYAAABPgw/pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n0M3MEvH/9Ii6/Qn8UaQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "df.diff().hist(color='k', alpha=0.5, bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x0000000020CD3D30>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000020E287F0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x0000000020E3CE80>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000020E55518>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX8AAAEMCAYAAAAs8rYIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/TMydyfGf7wLlAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = pd.Series(np.random.randn(1000))\n",
    "data.hist(by=np.random.randint(0, 4, 1000), figsize=(6, 4))"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda env:Anaconda3]",
   "language": "python",
   "name": "conda-env-Anaconda3-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
